SPAML Participant Data Outputs

Set Options

knitr::opts_chunk$set(
  warning = TRUE, # show warnings during codebook generation
  message = TRUE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())

library(rio)
library(labelled)

Prep Data

library(codebook)

## 
## Attaching package: 'codebook'

## The following object is masked from 'package:labelled':
## 
##     to_factor

codebook_data <- import("../data_processing/output_data/participant_data/sr_participant_data.csv")

# cat(paste(names(codebook_data), collapse = " = '', \n"))

var_label(codebook_data) <- list(
  observation = "Unique participant ID number.",
  duration_demographics = "The duration in milliseconds of the entire trial from time shown to time end - for the demographics form page.",
  time_run_demographics = "The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the demographics form page.",
  time_render_demographics = "The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the demographics form page.",
  time_show_demographics = "The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the demographics form page.",
  time_end_demographics = "The time in milliseconds from the start of the experiment it took to end the current trial - for the demographics form page.",
  time_commit_demographics = "The time in milliseconds from the start of the experiment it took to save the current trial - for the demographics form page.",
  timestamp_demographics = "The approximate timestamp of the trial in UTC server time - for the demographics form page.",
  time_switch_demographics = "The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the demographics form page.",
  please_tell_us_your_gender = "A multiple choice option for the gender of the participant. All answer choices were in the target language, but are presented in English equivalents here.",
  which_year_were_you_born = "A numeric entry box for the year of birth for the participant.",
  please_tell_us_your_education_level = "A multiple choice option for the education level of the participant. All answer choices were in the target language, but are presented in English equivalents here.",
  native_language = "An open choice answer box for the native language of the participant.",
  duration_consent = "The duration in milliseconds of the entire trial from time shown to time end - for the consent form page.",
  time_run_consent = "The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the consent form page.",
  time_render_consent = "The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the consent form page.",
  time_show_consent = "The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the consent form page.",
  time_end_consent = "The time in milliseconds from the start of the experiment it took to end the current trial - for the consent form page.",
  time_commit_consent = "The time in milliseconds from the start of the experiment it took to save the current trial - for the consent form page.",
  timestamp_consent = "The approximate timestamp of the trial in UTC server time - for the consent form page.",
  time_switch_consent = "The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the consent form page.",
  url_lab = "The lab code for the PSA member that ran the study.",
  meta_labjs_version = "The version of labjs used in the study.",
  meta_user_agent = "The browser the participant used in the study.",
  meta_platform = "The operating system of the computer used in the experiment.",
  meta_language = "The default language set for the browser the participant used in the study.",
  meta_locale = "The location of the browser the participant used in the study.",
  meta_time_zone = "The timezone set for the browser/computer the participant used in the study.",
  meta_timezone_offset = "The time zone offset from UTC time.",
  meta_screen_width = "The width of the screen in pixels.",
  meta_screen_height = "The height of the screen in pixels.",
  meta_scroll_height = "The height of the scroll bar.",
  meta_scroll_width = "The width of the scroll bar.", 
  meta_window_inner_width = "The width of the browser window in pixels.",
  meta_window_inner_height = "The height of the browser window in pixels.",
  meta_device_pixel_ratio = "The ratio of width to height of the screen in pixels.",
  meta_labjs_build_flavor = "The version build of the labjs version - usually production.",
  meta_labjs_build_commit = "The commit version of the labjs build.",
  keep = 'If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials SEEN.', 
  keep_answered = 'If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials ANSWERED.',
  n_trials = 'Number of trials seen in the study. ', 
  n_correct = 'Number of trials correctly answered in the study.', 
  p_correct = 'Proportion correct of total correct answers divided by number of trials seen.', 
  n_answered = 'Number of trials answered in the study (excludes timeouts). ', 
  p_correct_answered = 'Proportion of trials correctly answered given the number of trials answered in the study.', 
  start = 'The first timestamp of the study. ', 
  end = 'The last timestamp of the study.', 
  study_length = "Length of the study in minutes. Please note that if a participant's computer went to sleep during the study, it would pause the study, but given the next timestamp would still calculate time elapsed from the previous timestamp. Therefore, very long response times likely indicate participants that quit the study but did not close the browser window for a long time.")

metadata(codebook_data)$name <- "Semantic Priming Across Many Languages Participants Level Data (Example using Serbian Data)"
metadata(codebook_data)$description <- "This dataset contains the summarized participant information, separated by language, for participants involved in the study. The data includes demographic variables, timestamp information for the consent form and demographic page, and the summarized accuracy, trial, and study length for each participant. 

Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide insight into the cognitive underpinnings of semantic representations in both healthy and clinical populations; however, they have suffered from several issues including generally low sample sizes and a lack of diversity in linguistic implementations. Here, we will test the size and the variability of the semantic priming effect across ten languages by creating a large database of semantic priming values, based on an adaptive sampling procedure. Differences in response latencies between related word-pair conditions and unrelated word-pair conditions (i.e., difference score confidence interval is greater than zero) will allow quantifying evidence for semantic priming, whereas improvements in model fit with the addition of a random intercept for language will provide support for variability in semantic priming across languages."
metadata(codebook_data)$identifier <- "https://doi.org/10.5281/zenodo.10888833"
metadata(codebook_data)$creator <- "Erin M. Buchanan"
metadata(codebook_data)$citation <- "Buchanan, E., Cuccolo, K., Heyman, T., Iyer, A., Coles, N., Lewis Jr, N., Peters, K., van Berkel, N., Taylor, J., Van't Veer, A. E., Montefinese, M., Valentine, K. D., Maxwell, N., Türkan, B. N., Williams, G., Oliveros-Chacana, J. C., Röer, J., Fini, C., Acar, O., … Lewis, S. C. (2024). SemanticPriming/SPAML: SPAML v1 Data Release (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10888833"
metadata(codebook_data)$url <- "https://github.com/SemanticPriming/SPAML/releases/"
metadata(codebook_data)$datePublished <- "2024-05-01"
metadata(codebook_data)$temporalCoverage <- "2022-2024" 
metadata(codebook_data)$spatialCoverage <- "Online" 

Create codebook

codebook(codebook_data)

Metadata

Description

Dataset name: Semantic Priming Across Many Languages Participants Level Data (Example using Serbian Data)

This dataset contains the summarized participant information, separated by language, for participants involved in the study. The data includes demographic variables, timestamp information for the consent form and demographic page, and the summarized accuracy, trial, and study length for each participant.

Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide insight into the cognitive underpinnings of semantic representations in both healthy and clinical populations; however, they have suffered from several issues including generally low sample sizes and a lack of diversity in linguistic implementations. Here, we will test the size and the variability of the semantic priming effect across ten languages by creating a large database of semantic priming values, based on an adaptive sampling procedure. Differences in response latencies between related word-pair conditions and unrelated word-pair conditions (i.e., difference score confidence interval is greater than zero) will allow quantifying evidence for semantic priming, whereas improvements in model fit with the addition of a random intercept for language will provide support for variability in semantic priming across languages.

Metadata for search engines

• Temporal Coverage: 2022-2024

• Spatial Coverage: Online

• Citation: Buchanan, E., Cuccolo, K., Heyman, T., Iyer, A., Coles, N., Lewis Jr, N., Peters, K., van Berkel, N., Taylor, J., Van’t Veer, A. E., Montefinese, M., Valentine, K. D., Maxwell, N., Türkan, B. N., Williams, G., Oliveros-Chacana, J. C., Röer, J., Fini, C., Acar, O., … Lewis, S. C. (2024). SemanticPriming/SPAML: SPAML v1 Data Release (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10888833

• URL: https://github.com/SemanticPriming/SPAML/releases/

• Identifier: https://doi.org/10.5281/zenodo.10888833

• Date published: 2024-05-01

• Creator:

name	value
1	Erin M. Buchanan

x observation duration_demographics time_run_demographics time_render_demographics time_show_demographics time_end_demographics time_commit_demographics timestamp_demographics time_switch_demographics please_tell_us_your_gender which_year_were_you_born please_tell_us_your_education_level native_language duration_consent time_run_consent time_render_consent time_show_consent time_end_consent time_commit_consent timestamp_consent time_switch_consent url_lab meta_labjs_version meta_user_agent meta_platform meta_language meta_locale meta_time_zone meta_timezone_offset meta_screen_width meta_screen_height meta_scroll_width meta_scroll_height meta_window_inner_width meta_window_inner_height meta_device_pixel_ratio meta_labjs_build_flavor meta_labjs_build_commit keep keep_answered n_trials n_correct p_correct n_answered p_correct_answered start end study_length

#Variables

observation

Unique participant ID number.

Distribution

Distribution of values for observation

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
observation	Unique participant ID number.	character	0	1	790	0	14	14	0

duration_demographics

The duration in milliseconds of the entire trial from time shown to time end - for the demographics form page.

Distribution

Distribution of values for duration_demographics

18 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
duration_demographics	The duration in milliseconds of the entire trial from time shown to time end - for the demographics form page.	numeric	18	0.9772152	9992	30323	1.6e+07	62301.65	576826.5	▇▁▁▁▁

time_run_demographics

The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the demographics form page.

Distribution

Distribution of values for time_run_demographics

18 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_run_demographics	The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the demographics form page.	numeric	18	0.9772152	954	49681	1e+08	261673.6	3781201	▇▁▁▁▁

time_render_demographics

The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the demographics form page.

Distribution

Distribution of values for time_render_demographics

18 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_render_demographics	The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the demographics form page.	numeric	18	0.9772152	949	49671	1e+08	261666.8	3781201	▇▁▁▁▁

time_show_demographics

The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the demographics form page.

Distribution

Distribution of values for time_show_demographics

18 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_show_demographics	The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the demographics form page.	numeric	18	0.9772152	956	49686	1e+08	261697.6	3781201	▇▁▁▁▁

time_end_demographics

The time in milliseconds from the start of the experiment it took to end the current trial - for the demographics form page.

Distribution

Distribution of values for time_end_demographics

18 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_end_demographics	The time in milliseconds from the start of the experiment it took to end the current trial - for the demographics form page.	numeric	18	0.9772152	12202	86348	1e+08	323999.3	3852181	▇▁▁▁▁

time_commit_demographics

The time in milliseconds from the start of the experiment it took to save the current trial - for the demographics form page.

Distribution

Distribution of values for time_commit_demographics

18 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_commit_demographics	The time in milliseconds from the start of the experiment it took to save the current trial - for the demographics form page.	numeric	18	0.9772152	12202	86348	1e+08	324000.9	3852181	▇▁▁▁▁

timestamp_demographics

The approximate timestamp of the trial in UTC server time - for the demographics form page.

Distribution

## 772  unique, categorical values, so not shown.

18 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max
timestamp_demographics	The approximate timestamp of the trial in UTC server time - for the demographics form page.	POSIXct	18	0.9772152	772	2022-12-13 18:19:30.42	2023-10-27 18:36:07.453	2024-02-13 21:53:08.08

time_switch_demographics

The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the demographics form page.

Distribution

Distribution of values for time_switch_demographics

18 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_switch_demographics	The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the demographics form page.	numeric	18	0.9772152	12212	86355	1e+08	324012.6	3852180	▇▁▁▁▁

please_tell_us_your_gender

A multiple choice option for the gender of the participant. All answer choices were in the target language, but are presented in English equivalents here.

Distribution

Distribution of values for please_tell_us_your_gender

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
please_tell_us_your_gender	A multiple choice option for the gender of the participant. All answer choices were in the target language, but are presented in English equivalents here.	character	0	1	5	21	0	6	0

which_year_were_you_born

A numeric entry box for the year of birth for the participant.

Distribution

Distribution of values for which_year_were_you_born

18 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
which_year_were_you_born	A numeric entry box for the year of birth for the participant.	numeric	18	0.9772152	1955	2003	2005	1994.333	13.9183	▁▂▁▁▇

please_tell_us_your_education_level

A multiple choice option for the education level of the participant. All answer choices were in the target language, but are presented in English equivalents here.

Distribution

Distribution of values for please_tell_us_your_education_level

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
please_tell_us_your_education_level	A multiple choice option for the education level of the participant. All answer choices were in the target language, but are presented in English equivalents here.	character	0	1	7	19	0	21	0

native_language

An open choice answer box for the native language of the participant.

Distribution

Distribution of values for native_language

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
native_language	An open choice answer box for the native language of the participant.	character	0	1	37	27	0	17	0

duration_consent

The duration in milliseconds of the entire trial from time shown to time end - for the consent form page.

Distribution

Distribution of values for duration_consent

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
duration_consent	The duration in milliseconds of the entire trial from time shown to time end - for the consent form page.	numeric	3	0.9962025	697	43794	1e+08	247038.4	3740959	▇▁▁▁▁

time_run_consent

The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the consent form page.

Distribution

Distribution of values for time_run_consent

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_run_consent	The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the consent form page.	numeric	3	0.9962025	93	1739	31107	2222.502	2447.378	▇▁▁▁▁

time_render_consent

The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the consent form page.

Distribution

Distribution of values for time_render_consent

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_render_consent	The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the consent form page.	numeric	3	0.9962025	48	1698	5384762	12190.12	195883.3	▇▁▁▁▁

time_show_consent

The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the consent form page.

Distribution

Distribution of values for time_show_consent

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_show_consent	The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the consent form page.	numeric	3	0.9962025	111	1817	5384795	12357.08	195879.1	▇▁▁▁▁

time_end_consent

The time in milliseconds from the start of the experiment it took to end the current trial - for the consent form page.

Distribution

Distribution of values for time_end_consent

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_end_consent	The time in milliseconds from the start of the experiment it took to end the current trial - for the consent form page.	numeric	3	0.9962025	952	48432	1e+08	259394.8	3745544	▇▁▁▁▁

time_commit_consent

The time in milliseconds from the start of the experiment it took to save the current trial - for the consent form page.

Distribution

Distribution of values for time_commit_consent

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_commit_consent	The time in milliseconds from the start of the experiment it took to save the current trial - for the consent form page.	numeric	3	0.9962025	954	48441	1e+08	259402.1	3745544	▇▁▁▁▁

timestamp_consent

The approximate timestamp of the trial in UTC server time - for the consent form page.

Distribution

## 790  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max
timestamp_consent	The approximate timestamp of the trial in UTC server time - for the consent form page.	POSIXct	0	1	790	2022-12-13 18:19:18.775	2023-10-27 18:12:57.625	2024-02-13 21:52:48.49

time_switch_consent

The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the consent form page.

Distribution

Distribution of values for time_switch_consent

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
time_switch_consent	The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the consent form page.	numeric	3	0.9962025	956	48485	1e+08	259426.5	3745544	▇▁▁▁▁

url_lab

The lab code for the PSA member that ran the study.

Distribution

Distribution of values for url_lab

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
url_lab	The lab code for the PSA member that ran the study.	character	0	1	3	0	2	9	0

meta_labjs_version

The version of labjs used in the study.

Distribution

Distribution of values for meta_labjs_version

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
meta_labjs_version	The version of labjs used in the study.	character	0	1	2	3	0	6	0

meta_user_agent

The browser the participant used in the study.

Distribution

Distribution of values for meta_user_agent

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
meta_user_agent	The browser the participant used in the study.	character	0	1	77	3	0	147	0

meta_platform

The operating system of the computer used in the experiment.

Distribution

Distribution of values for meta_platform

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
meta_platform	The operating system of the computer used in the experiment.	character	0	1	4	3	0	12	0

meta_language

The default language set for the browser the participant used in the study.

Distribution

Distribution of values for meta_language

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
meta_language	The default language set for the browser the participant used in the study.	character	0	1	22	3	0	10	0

meta_locale

The location of the browser the participant used in the study.

Distribution

Distribution of values for meta_locale

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
meta_locale	The location of the browser the participant used in the study.	character	0	1	14	3	0	10	0

meta_time_zone

The timezone set for the browser/computer the participant used in the study.

Distribution

Distribution of values for meta_time_zone

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
meta_time_zone	The timezone set for the browser/computer the participant used in the study.	character	0	1	16	3	0	19	0

meta_timezone_offset

The time zone offset from UTC time.

Distribution

Distribution of values for meta_timezone_offset

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
meta_timezone_offset	The time zone offset from UTC time.	numeric	3	0.9962025	-120	-60	480	-68.08132	50.90283	▇▁▁▁▁

meta_screen_width

The width of the screen in pixels.

Distribution

Distribution of values for meta_screen_width

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
meta_screen_width	The width of the screen in pixels.	numeric	3	0.9962025	915	1536	3440	1622.333	277.2668	▃▇▁▁▁

meta_screen_height

The height of the screen in pixels.

Distribution

Distribution of values for meta_screen_height

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
meta_screen_height	The height of the screen in pixels.	numeric	3	0.9962025	515	864	1440	922.9492	149.7347	▁▇▂▅▁

meta_scroll_width

The width of the scroll bar.

Distribution

Distribution of values for meta_scroll_width

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
meta_scroll_width	The width of the scroll bar.	numeric	3	0.9962025	767	1536	3440	1602.76	276.8653	▂▇▅▁▁

meta_scroll_height

The height of the scroll bar.

Distribution

Distribution of values for meta_scroll_height

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
meta_scroll_height	The height of the scroll bar.	numeric	3	0.9962025	407	698	1281	740.77	145.6839	▂▇▆▁▁

meta_window_inner_width

The width of the browser window in pixels.

Distribution

Distribution of values for meta_window_inner_width

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
meta_window_inner_width	The width of the browser window in pixels.	numeric	3	0.9962025	767	1536	3440	1602.759	276.867	▂▇▅▁▁

meta_window_inner_height

The height of the browser window in pixels.

Distribution

Distribution of values for meta_window_inner_height

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
meta_window_inner_height	The height of the browser window in pixels.	numeric	3	0.9962025	407	746	1329	786.4816	148.8312	▁▇▃▂▁

meta_device_pixel_ratio

The ratio of width to height of the screen in pixels.

Distribution

Distribution of values for meta_device_pixel_ratio

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
meta_device_pixel_ratio	The ratio of width to height of the screen in pixels.	numeric	3	0.9962025	0.9	1	2.2	1.126897	0.1870828	▇▅▁▁▁

meta_labjs_build_flavor

The version build of the labjs version - usually production.

Distribution

Distribution of values for meta_labjs_build_flavor

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
meta_labjs_build_flavor	The version build of the labjs version - usually production.	character	0	1	2	3	0	10	0

meta_labjs_build_commit

The commit version of the labjs build.

Distribution

Distribution of values for meta_labjs_build_commit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
meta_labjs_build_commit	The commit version of the labjs build.	character	0	1	2	3	0	40	0

keep

If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials SEEN.

Distribution

Distribution of values for keep

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
keep	If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials SEEN.	character	0	1	2	0	4	7	0

keep_answered

If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials ANSWERED.

Distribution

Distribution of values for keep_answered

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
keep_answered	If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials ANSWERED.	character	0	1	2	0	4	7	0

n_trials

Number of trials seen in the study.

Distribution

Distribution of values for n_trials

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
n_trials	Number of trials seen in the study.	numeric	36	0.9544304	6	800	800	754.8899	147.0867	▁▁▁▁▇

n_correct

Number of trials correctly answered in the study.

Distribution

Distribution of values for n_correct

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
n_correct	Number of trials correctly answered in the study.	numeric	36	0.9544304	0	752	798	686.2997	171.7876	▁▁▁▁▇

p_correct

Proportion correct of total correct answers divided by number of trials seen.

Distribution

Distribution of values for p_correct

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
p_correct	Proportion correct of total correct answers divided by number of trials seen.	numeric	36	0.9544304	0	0.94	1	0.9026062	0.1433827	▁▁▁▁▇

n_answered

Number of trials answered in the study (excludes timeouts).

Distribution

Distribution of values for n_answered

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
n_answered	Number of trials answered in the study (excludes timeouts).	numeric	36	0.9544304	0	796	800	733.7003	169.6685	▁▁▁▁▇

p_correct_answered

Proportion of trials correctly answered given the number of trials answered in the study.

Distribution

Distribution of values for p_correct_answered

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
p_correct_answered	Proportion of trials correctly answered given the number of trials answered in the study.	numeric	36	0.9544304	0	0.95	1	0.9224856	0.1208271	▁▁▁▁▇

start

The first timestamp of the study.

Distribution

## 754  unique, categorical values, so not shown.

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max
start	The first timestamp of the study.	POSIXct	36	0.9544304	754	2022-12-20 17:47:51.709	2023-10-27 20:52:57.197	2024-02-13 21:53:45.854

end

The last timestamp of the study.

Distribution

## 754  unique, categorical values, so not shown.

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max
end	The last timestamp of the study.	POSIXct	36	0.9544304	754	2022-12-20 18:05:19.61	2023-10-27 22:10:56.664	2024-02-13 22:09:46.042

study_length

Length of the study in minutes. Please note that if a participant’s computer went to sleep during the study, it would pause the study, but given the next timestamp would still calculate time elapsed from the previous timestamp. Therefore, very long response times likely indicate participants that quit the study but did not close the browser window for a long time.

Distribution

Distribution of values for study_length

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
study_length	Length of the study in minutes. Please note that if a participant’s computer went to sleep during the study, it would pause the study, but given the next timestamp would still calculate time elapsed from the previous timestamp. Therefore, very long response times likely indicate participants that quit the study but did not close the browser window for a long time.	numeric	36	0.9544304	0.22	21	16213	57.18814	672.3296	▇▁▁▁▁

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Semantic Priming Across Many Languages Participants Level Data (Example using Serbian Data)",
  "description": "This dataset contains the summarized participant information, separated by language, for participants involved in the study. The data includes demographic variables, timestamp information for the consent form and demographic page, and the summarized accuracy, trial, and study length for each participant. \n\nSemantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide insight into the cognitive underpinnings of semantic representations in both healthy and clinical populations; however, they have suffered from several issues including generally low sample sizes and a lack of diversity in linguistic implementations. Here, we will test the size and the variability of the semantic priming effect across ten languages by creating a large database of semantic priming values, based on an adaptive sampling procedure. Differences in response latencies between related word-pair conditions and unrelated word-pair conditions (i.e., difference score confidence interval is greater than zero) will allow quantifying evidence for semantic priming, whereas improvements in model fit with the addition of a random intercept for language will provide support for variability in semantic priming across languages.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "identifier": "https://doi.org/10.5281/zenodo.10888833",
  "creator": "Erin M. Buchanan",
  "citation": "Buchanan, E., Cuccolo, K., Heyman, T., Iyer, A., Coles, N., Lewis Jr, N., Peters, K., van Berkel, N., Taylor, J., Van't Veer, A. E., Montefinese, M., Valentine, K. D., Maxwell, N., Türkan, B. N., Williams, G., Oliveros-Chacana, J. C., Röer, J., Fini, C., Acar, O., … Lewis, S. C. (2024). SemanticPriming/SPAML: SPAML v1 Data Release (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10888833",
  "url": "https://github.com/SemanticPriming/SPAML/releases/",
  "datePublished": "2024-05-01",
  "temporalCoverage": "2022-2024",
  "spatialCoverage": "Online",
  "keywords": ["observation", "duration_demographics", "time_run_demographics", "time_render_demographics", "time_show_demographics", "time_end_demographics", "time_commit_demographics", "timestamp_demographics", "time_switch_demographics", "please_tell_us_your_gender", "which_year_were_you_born", "please_tell_us_your_education_level", "native_language", "duration_consent", "time_run_consent", "time_render_consent", "time_show_consent", "time_end_consent", "time_commit_consent", "timestamp_consent", "time_switch_consent", "url_lab", "meta_labjs_version", "meta_user_agent", "meta_platform", "meta_language", "meta_locale", "meta_time_zone", "meta_timezone_offset", "meta_screen_width", "meta_screen_height", "meta_scroll_width", "meta_scroll_height", "meta_window_inner_width", "meta_window_inner_height", "meta_device_pixel_ratio", "meta_labjs_build_flavor", "meta_labjs_build_commit", "keep", "keep_answered", "n_trials", "n_correct", "p_correct", "n_answered", "p_correct_answered", "start", "end", "study_length"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "observation",
      "description": "Unique participant ID number.",
      "@type": "propertyValue"
    },
    {
      "name": "duration_demographics",
      "description": "The duration in milliseconds of the entire trial from time shown to time end - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_run_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_render_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_show_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_end_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to end the current trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_commit_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to save the current trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "timestamp_demographics",
      "description": "The approximate timestamp of the trial in UTC server time - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_switch_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "please_tell_us_your_gender",
      "description": "A multiple choice option for the gender of the participant. All answer choices were in the target language, but are presented in English equivalents here.",
      "@type": "propertyValue"
    },
    {
      "name": "which_year_were_you_born",
      "description": "A numeric entry box for the year of birth for the participant.",
      "@type": "propertyValue"
    },
    {
      "name": "please_tell_us_your_education_level",
      "description": "A multiple choice option for the education level of the participant. All answer choices were in the target language, but are presented in English equivalents here.",
      "@type": "propertyValue"
    },
    {
      "name": "native_language",
      "description": "An open choice answer box for the native language of the participant.",
      "@type": "propertyValue"
    },
    {
      "name": "duration_consent",
      "description": "The duration in milliseconds of the entire trial from time shown to time end - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_run_consent",
      "description": "The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_render_consent",
      "description": "The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_show_consent",
      "description": "The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_end_consent",
      "description": "The time in milliseconds from the start of the experiment it took to end the current trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_commit_consent",
      "description": "The time in milliseconds from the start of the experiment it took to save the current trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "timestamp_consent",
      "description": "The approximate timestamp of the trial in UTC server time - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_switch_consent",
      "description": "The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "url_lab",
      "description": "The lab code for the PSA member that ran the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_labjs_version",
      "description": "The version of labjs used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_user_agent",
      "description": "The browser the participant used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_platform",
      "description": "The operating system of the computer used in the experiment.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_language",
      "description": "The default language set for the browser the participant used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_locale",
      "description": "The location of the browser the participant used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_time_zone",
      "description": "The timezone set for the browser/computer the participant used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_timezone_offset",
      "description": "The time zone offset from UTC time.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_screen_width",
      "description": "The width of the screen in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_screen_height",
      "description": "The height of the screen in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_scroll_width",
      "description": "The width of the scroll bar.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_scroll_height",
      "description": "The height of the scroll bar.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_window_inner_width",
      "description": "The width of the browser window in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_window_inner_height",
      "description": "The height of the browser window in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_device_pixel_ratio",
      "description": "The ratio of width to height of the screen in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_labjs_build_flavor",
      "description": "The version build of the labjs version - usually production.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_labjs_build_commit",
      "description": "The commit version of the labjs build.",
      "@type": "propertyValue"
    },
    {
      "name": "keep",
      "description": "If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials SEEN.",
      "@type": "propertyValue"
    },
    {
      "name": "keep_answered",
      "description": "If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials ANSWERED.",
      "@type": "propertyValue"
    },
    {
      "name": "n_trials",
      "description": "Number of trials seen in the study. ",
      "@type": "propertyValue"
    },
    {
      "name": "n_correct",
      "description": "Number of trials correctly answered in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "p_correct",
      "description": "Proportion correct of total correct answers divided by number of trials seen.",
      "@type": "propertyValue"
    },
    {
      "name": "n_answered",
      "description": "Number of trials answered in the study (excludes timeouts). ",
      "@type": "propertyValue"
    },
    {
      "name": "p_correct_answered",
      "description": "Proportion of trials correctly answered given the number of trials answered in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "start",
      "description": "The first timestamp of the study. ",
      "@type": "propertyValue"
    },
    {
      "name": "end",
      "description": "The last timestamp of the study.",
      "@type": "propertyValue"
    },
    {
      "name": "study_length",
      "description": "Length of the study in minutes. Please note that if a participant's computer went to sleep during the study, it would pause the study, but given the next timestamp would still calculate time elapsed from the previous timestamp. Therefore, very long response times likely indicate participants that quit the study but did not close the browser window for a long time.",
      "@type": "propertyValue"
    }
  ]
}`